deleted unused and no longer needed scripts

Scripts/Temperatur_logger.py

@@ -1,43 +0,0 @@
-import sys
-from pathlib import Path
-import threading
-import queue
-import paho.mqtt.client as mqtt
-import time
-
-# Global variable to store received message
-received_data = None
-
-def __on_connect(client, userdata, flags, rc):
-    print("Connected with result code " + str(rc))
-    client.subscribe("test/topic")  # Change this to your topic
-
-def __on_message(client, userdata, msg):
-    global received_data
-    received_data = msg.payload.decode()
-    #TODO: Write data to pickle and in queue
-    print(f"Message received on {msg.topic}: {received_data}")
-
-def __mqtt_thread():
-    client = mqtt.Client()
-    client.on_connect = __on_connect
-    client.on_message = __on_message
-
-    client.connect("broker.hivemq.com", 1883, 60)  # Replace with your broker address and port
-    client.loop_forever()
-
-def start_mqtt_in_thread():
-    thread = threading.Thread(target=__mqtt_thread, daemon=True)
-    thread.start()
-
-# Example usage
-if __name__ == "__main__":
-    start_mqtt_in_thread()
-
-    # Simulate main thread work
-    while True:
-        if received_data:
-            print(f"Main thread sees data: {received_data}")
-            received_data = None  # Reset after handling
-        time.sleep(1)
-

Scripts/Test_y.py

@@ -1,66 +0,0 @@
-from time import sleep
-from pathlib import Path
-import sys
-
-import pyads
-
-
-def check_path(path_str):
-    try:
-        path = Path(path_str)
-        if not path.exists():
-            raise FileNotFoundError(f"Path does not exist: {path_str}")
-        print(f"Path exists: {path_str}")
-    except FileNotFoundError as e:
-        print(f"Error: {e}")
-config_path = r"C:\Users\berti_r\Python_Projects\StagePerformaceDocu\Config\config.json"
-check_path(config_path)
-
-
-
-library_path = r"C:\Users\berti_r\Python_Projects\templates\motion_libs"
-check_path(library_path)
-sys.path.append(library_path)
-measurement_mov_path = r"C:\Users\berti_r\Python_Projects\StagePerformaceDocu\Config\measurement.json"
-check_path(measurement_mov_path)
-
-
-import motionFunctionsLib as mfl
-import time
-
-
-plc = mfl.plc('5.67.222.118.1.1', 852)
-
-plc.connect()
-axis1 = mfl.axis(plc, 1)
-axis4 = mfl.axis(plc, 4)
-
-print(axis4.getCoupledGear1())
-axis1.setAcceleration(10000.0)
-axis1.setDeceleration(10000.0)
-axis1.setVelocity(3)
-
-
-axis4.setAcceleration(10000.0)
-axis4.setDeceleration(10000.0)
-axis4.setVelocity(3)
-
-
-
-axis1.enableAxis()
-axis4.enableAxis()
-sleep(1)
-print("coupling: ",axis4.getCoupledGear1())
-for i in range(3):
-    axis4.moveRelative(0.5)
-    axis1.moveRelative(0.5)
-    sleep(5)
-    axis4.moveRelative(-0.5)
-    axis1.moveRelative(-0.5)
-    sleep(5)
-
-
-
-
-axis1.disableAxis()
-axis4.disableAxis()

Scripts/cureent_data_buffer.py

@@ -1,36 +0,0 @@
-import os
-import numpy as np
-
-FIFO_BUFFER_SIZE = 30
-
-
-def write_to_fifo_file(filepath, x, y, timestamp):
-    """
-    Appends (x, y, time) to a .dat file, keeping only the most recent FIFO_BUFFER_SIZE entries.
-
-    Parameters:
-    - filepath: Path to the .dat file.
-    - x: X position (float)
-    - y: Y position (float)
-    - timestamp: Unix time (float or int)
-    """
-    new_entry = np.array([[x, y, timestamp]])
-
-    # Load existing data
-    if os.path.exists(filepath):
-        try:
-            data = np.loadtxt(filepath)
-            if data.ndim == 1 and data.size == 3:
-                data = data.reshape(1, 3)
-        except Exception:
-            data = np.empty((0, 3))
-    else:
-        data = np.empty((0, 3))
-
-    # Append and trim oldest if needed
-    data = np.vstack((data, new_entry))
-    if len(data) > FIFO_BUFFER_SIZE:
-        data = data[-FIFO_BUFFER_SIZE:]
-
-    # Save updated buffer
-    np.savetxt(filepath, data, fmt="%.6f %.6f %.6f")